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| DC Field | Value | Language |
|---|---|---|
| dc.creator | Krallinger, Martin | - |
| dc.creator | Valencia, Alfonso | - |
| dc.date | 2008-04-08T10:34:32Z | - |
| dc.date | 2008-04-08T10:34:32Z | - |
| dc.date | 2005-06-28 | - |
| dc.date.accessioned | 2017-01-31T01:01:37Z | - |
| dc.date.available | 2017-01-31T01:01:37Z | - |
| dc.identifier | Genome Biology 2005, 6:224 | - |
| dc.identifier | 1465-6914 | - |
| dc.identifier | http://hdl.handle.net/10261/3470 | - |
| dc.identifier | 10.1186/gb-2005-6-7-224 | - |
| dc.identifier.uri | http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3470 | - |
| dc.description | The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2005/6/7/224 | - |
| dc.description | Text-mining in molecular biology - defined as the automatic extraction of information about genes, proteins and their functional relationships from text documents - has emerged as a hybrid discipline on the edges of the fields of information science, bioinformatics and computational linguistics. A range of text-mining applications have been developed recently that will improve access to knowledge for biologists and database annotators. | - |
| dc.description | The work of our group was supported by grants from the European Commission (ORIEL IST-2001-32688, TEMBLOR QLRT-2001-00015, Biosapiens LSHC-CT-2003-505265). | - |
| dc.description | Peer reviewed | - |
| dc.format | 725407 bytes | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | BioMed Central | - |
| dc.relation | Publisher’s version | - |
| dc.rights | openAccess | - |
| dc.subject | Bioinformatics | - |
| dc.subject | Methods | - |
| dc.title | Text-mining and information-retrieval services for molecular biology | - |
| dc.type | Artículo | - |
| Appears in Collections: | Digital Csic | |
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